| This course provides an introduction to probability and statistics with strong emphasis on data analysis. Topics include numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, counts and tables, analysis of variance, and regression. Upon completion of this course, students should be able to think critically about data, to use graphical and numerical summaries, to apply standard statistical inference procedures and to draw conclusions from such analyses. This course will be computationally, not mathematically, intensive. There are no prerequisites other than a willingness to get your hands dirty using the computer. |